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KurrentDB: An Event-Native Database for Modern Event-Driven Architectures
KurrentDB is an innovative database designed for modern software and event-driven architectures. Its event-native approach simplifies data modeling and ensures data integrity, while an integrated streaming engine addresses distributed messaging and data consistency challenges. This powerful platform, formerly known as EventStoreDB, provides a robust solution for complex data management.
Harden-Windows-Security: Enhance Your Windows System Security with Official Methods
The Harden-Windows-Security repository by HotCakeX provides robust tools and guides to secure Windows using official Microsoft methods. It offers two key applications, Harden System Security and AppControl Manager, available on the Microsoft Store, catering to personal, enterprise, and military security needs. The project emphasizes defense-in-depth and adheres to SLSA Level 3 compliance for secure development.

Waha-net/waha-net: .NET C# Client Library for WhatsApp HTTP API (WAHA)
Waha-net/waha-net is a .NET C# client library designed to simplify interaction with the WAHA (WhatsApp HTTP API). It enables developers to easily integrate WhatsApp services into their .NET applications, providing a streamlined way to manage chats and sessions.

HtmlRendererCore: HTML to PDF Rendering for .NET Core
HtmlRendererCore is a partial port of the popular HtmlRenderer library, specifically designed to bring robust HTML to PDF conversion capabilities to .NET Core projects. It leverages PdfSharpCore to enable developers to easily generate PDF documents from HTML content, making it a valuable tool for various application needs.

AI Samples for .NET: Integrating AI into Your .NET Applications
The AI Samples for .NET repository provides a comprehensive collection of samples demonstrating how to integrate artificial intelligence into .NET applications. It features examples using Microsoft.Extensions.AI for unified API access to AI services and Microsoft.Extensions.AI.Evaluation for assessing LLM response quality. This resource is ideal for .NET developers looking to leverage AI, including large language models, in their projects.